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Event Features
- Clearly defined Data & AI career roles
- Beginner skill stacks explained
- Tool recommendations per role
- Learning pathways for zero-experience learners
- Practical examples of real job tasks
- Insight into industry expectations
- Actionable next steps for students
- Live Q&A for clarity
Event Description
The instructor planned to explain different job roles, essential beginner skills, and how to select the right initial path based on interest and background. The agenda also included tool recommendations for each role, guidance for learners with zero experience, and a short Q&A segment to clarify early doubts.
Schedule
1. The event began with an overview of DBS University’s mission to create accessible, skills-first digital learning.
2. The instructor presented seven key Data & AI career paths including Data Analyst, Data Scientist, ML Engineer, AI Engineer, BI Analyst, Data Engineer, and Applied Research roles.
3. For each role, learners were given beginner-friendly skill stacks and tool suggestions like Python, SQL, Tableau, TensorFlow, and cloud basics.
4. Students asked questions about starting from scratch, timelines, and how to overcome lack of experience.
5. The instructor emphasized starting with fundamentals, building hands-on projects, and focusing on progress rather than perfection.
6. The session concluded with recommended next steps and a reminder that practical learning accelerates career growth.
2. The instructor presented seven key Data & AI career paths including Data Analyst, Data Scientist, ML Engineer, AI Engineer, BI Analyst, Data Engineer, and Applied Research roles.
3. For each role, learners were given beginner-friendly skill stacks and tool suggestions like Python, SQL, Tableau, TensorFlow, and cloud basics.
4. Students asked questions about starting from scratch, timelines, and how to overcome lack of experience.
5. The instructor emphasized starting with fundamentals, building hands-on projects, and focusing on progress rather than perfection.
6. The session concluded with recommended next steps and a reminder that practical learning accelerates career growth.
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